Research Intern, Autonomy

Job not on LinkedIn

🔥 4 minutes ago

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

👨‍🎓 Internship

⚪️ Entry-level

👻 Ghost score 13%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

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Stack AV

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Stack AV is a company that is revolutionizing the transportation industry through its autonomous trucking solutions, driven by advanced artificial intelligence. The company focuses on developing AI-powered autonomous systems to enhance safety, reliability, and efficiency in trucking operations. Stack AV is committed to addressing the challenges of the trucking industry by designing smart solutions to improve supply chain intelligence, business outcomes, and delivery speed. Safety is a core principle, and the company leverages cutting-edge AI, machine learning, and cloud technologies to innovate within the industry.

📋 Description

• Conduct research within the Autonomy team on cutting-edge AI and autonomous vehicle challenges • Contribute to autonomous technology breakthroughs shaping Stack AV's autonomous vehicle product • Potentially work on autolabeling; 3D perception, tracking, and SLAM; long-range perception; automatic mapping; prediction; deep decision making; world models; and distributed, multi-stage ML architectures • Develop, train, and validate AI, computer vision, and machine learning models • Collaborate cross-functionally in a team environment • Contribute to transformative AI solutions as an integral member of the startup team

🎯 Requirements

• Currently enrolled in a PhD program in a relevant field (3+ years into program preferred) • Currently located in the United States • Strong programming skills in Python or C++ • Experience with ML frameworks such as PyTorch • Strong foundation in Computer Vision, Machine Learning, Simulation, Reinforcement Learning • Ability to develop, train, and validate AI/CV/ML models • Experience in SOTA deep learning techniques, e.g. multi-modal foundational models • Experience working and communicating cross functionally in a team environment • May be subject to verification of residence, U.S. person status, and/or citizenship status • May require a U.S. government export license depending on candidate status

🏖️ Benefits

• Competitive pay • Support CPT • Remote-first work arrangement • Opportunity to collaborate with industry leaders • Career and research growth opportunities • At least 12-week summer internship duration, with possible flexibility to continue into the fall semester • In-person work option for interns already based in the Pittsburgh area

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